Minimum qualifications:- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 15 years of software development experience, with a focus on system architecture, machine learning, or mobile platforms.
- Experience leading large-scale technical projects from conception to launch, managing multiple stakeholders without direct authority.
- Experience architecting systems for mobile or embedded devices.
Preferred qualifications:- Experience with C , Rust, and modern machine learning frameworks (e.g., TensorFlow, PyTorch, JAX) at the systems level.
- Deep understanding of Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and voice-based user interface design.
- Ability to navigate complex, ambiguous technical landscapes and drive clarity for massive engineering organizations.
- Expertise in low-level compilation, model quantization, and optimization techniques specifically for Edge-AI and NPU/DSP hardware.
Responsibilities- Lead the end-to-end technical architecture for on-device LLM integration and voice processing pipelines within the Android XR ecosystem.
- Drive hardware-software co-design efforts to optimize model performance for constrained Edge-AI environments, focusing on latency, power, and memory efficiency.
- Collaborate cross-functionally with Silicon, Android OS, and Google Research teams to define the long-term roadmap for spatial intelligence.
- Mentor senior technical leads and staff engineers, fostering a culture of technical excellence and innovative problem-solving across the organization.
- Influence the broader industry by representing Google in technical standards and partnerships related to on-device AI and XR.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $307000 - $427000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
